The contribution of this study is the benchmarking of LPRNet [1]} and Tesseract [2]} for automatic license plate recognition on two different datasets and the proposal of a framework based on Pareto Analysis [3]} for conflicting characters detection. The article is organized as follows, section  presents the problem statement, section  the proposed solution with both analyzed algorithms, section REF  describes the datasets, pre-processing, and evaluation metrics, section  presents the experiments and results. Finally, we conclude in section .
